A package for scraping NBA stats from yahoo
Project description
This is a package to get NBA stats from scraping yahoo.com
There are 2 main classes in this package
- DataAttribute
- Player
- Team
DataAttribute
- this is the return value from most of the Player methods
- Attributes:
- names: list = field(default_factory=list)
- num_game: int = 1
- fg_made: float = 0.0
- fg_attempt: float = 0.0
- three_made: float = 0.0
- three_attempt: float = 0.0
- ft_made: float = 0.0
- ft_attempt: float = 0.0
- rebound: float = 0.0
- assist: float = 0.0
- turnover: float = 0.0
- steal: float = 0.0
- block: float = 0.0
- point: float = 0.0
Player
-
Attributes:
- name (string): player's full name
- player_id (int): player 4 digit id
- game_raw_data (BeautifulSoup object): internal data for processing
- yearly_raw_data (BeautifulSoup object): internal data for processing
- team (string): player's team
- number (int): player's number
- avg_pt (float): average point for current season
- avg_reb (float): average rebound for current season
- avg_ast (float): average assist for current season
- position (string): position
- college (string): college the player attended
-
Methods:
-
get_yearly_data(self, year='current')
- return the yearly average represented by DataAttribute dataclass
- required parameters:
- year (int): a 4 digit formatted year, eg, 2019. If it's "current", it'll get the current year
-
get_recent_games_data(self, game_type='all', home_only=False, away_only=False, games=5, year='current')
- return a list of DataAttribute objects
- required parameters:
- game_type (string): accepted types are all, reg, or post, default=all
- home_only (bool): home game only, default=False
- away_only (bool): away game only, default=False
- games (int): the number of games, default=5
- year (int): a 4 digit formatted year, eg, 2019. If it's "current", it'll get the current year. default=current
-
get_recent_games_avg_stats(self, game_type='all', home_only=False, away_only=False, games=5, year='current')
- return a list of DataAttribute objects
- required parameters:
- game_type (string): accepted types are all, reg, or post, default=all
- home_only (bool): home game only, default=False
- away_only (bool): away game only, default=False
- games (int): the number of games, default=5
- year (int): a 4 digit formatted year, eg, 2019. If it's "current", it'll get the current year. default=current
-
get_data_by_opponentt(self, oppo, game_type='all', year='current')
- return a list of DataAttribute objects
- required parameters:
- game_type (string): accepted types are all, reg, or post, default=all
- home_only (bool): home game only, default=False
- away_only (bool): away game only, default=False
- games (int): the number of games, default=5
- year (int): a 4 digit formatted year, eg, 2019. If it's "current", it'll get the current year. default=current
-
get_avg_stats_by_opponent(self, oppo, game_type='all', year='current')
- return the average stats against a particular opponent represented by DataAttribute dataclass
- required parameters:
- oppo (string): the 3 charater team name, eg, "BKN"
- game_type (string): accepted types are all, reg, or post, default=all
- year (int): a 4 digit formatted year, eg, 2019. If it's "current", it'll get the current year. default=current
-
clear_cache(self)
- clear caches
- requred parameters:
- None
-
Team
- Attributes:
- name (string): team name
- win (int): number of wins for current season
- loss (int): number of loss for current season
- pt (float): average point
- reb (float): average rebound
- fg (float): average fild goal percentage
- percent_3pt (float): average 3 point percentage
- standing (string): team standing
- raw_data (BeautifulSoup object): internal data for processing
- players (list[Player]): list of player objects
Example
-
from nba_stats import nba_stats player = nba_stats.Player('Stephen Curry') player.get_yearly_data() DataAttribute(names=['2020-21'], num_game='4', fg_made=8.3, fg_attempt=20.0, three_made=3.5, three_attempt=11.0, ft_made=6.5, ft_attempt=6.5, rebound=3.8, assist=7.0, turnover=4.3, steal=1.8, block=0.5, point=26.5) player.get_avg_stats_by_opponent('CLE', year=2019) DataAttribute(names=['@CLE'], num_game=1, fg_made=6.0, fg_attempt=14.0, three_made=1.0, three_attempt=3.0, ft_made=1.0, ft_attempt=2.0, rebound=6.0, assist=5.0, turnover=2.0, steal=0.0, block=0.0, point=14.0) team = nba_stats.Team('Golden State Warriors') team.pt 111.0 team.win 2
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